The pilot project was so successful that CSS will offer the incentive to all customers starting in the second quarter of 2016, he says. “We want to take these
experiences to the next level, designing personalized digital programs to address
chronic diseases that really work, and have that lead to a win-win for both the
patient and health insurance.”

MADE-TO-ORDER

To deliver the greatest ROI, data projects must support a specific business
objective. For the U.S. pizza chain Papa Murphy’s, the goal was to streamline
the construction of its restaurants.

In April 2015, the company started using an application that collects a wide range
of task-completion data that can be custom-sorted to show only the information
that each project team member or stakeholder needs. For instance, the point-of-sale
installer sees only the progress of other subcontractors working on the store that’s
relevant—such as when the electrical system and countertops are in place—so that
team knows when its service is needed. But Papa Murphy’s executives get a big data
view of on-site progress for all locations under construction.

Contractors have full access to data but can filter their view to “get a narrow
view that doesn’t overwhelm them with more than they need to see,” says Jennifer Doyle, director of information and technical services at Papa Murphy’s,
Vancouver, Washington, USA. Project leaders and executives are “able to pull
out data and do higher-lever analytics to see things like whether one architectural firm is working faster than others,” she says.

This approach makes the store-opening process more efficient, and she predicts restaurants will open a few weeks sooner because of the little data project
approach. In 2016, Papa Murphy’s also will start to analyze how cost estimates
and invoice tracking via the app can help the organizations identify opportunities to reduce costs, she says.

Executives keen on data-driven decision-making likely will continue to invest
in big data projects, but project and portfolio leaders must learn to capture and
prioritize insights to deliver real results, Mr. Park says.

“There’s a temptation to believe more data is better, but the truth is, there’s
a limit to it. In order to be useful, data needs to be contextualized and cleansed
and brought into the context where each stakeholder lives.” PM